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A STOCHASTIC FORAGING MODEL OF ATTENTIVE EYE GUIDANCE ON DYNAMIC STIMULI
ALESSANDRO D'AMELIO
2021
doi:10.13130/d-amelio-alessandro_phd2021-03-22
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Distinguishing between parallel and serial processing in visual attention from neurobiological data
Kang Li, Mikiko Kadohisa, Makoto Kusunoki, John Duncan, Claus Bundesen, Susanne Ditlevsen
2020
Royal Society Open Science
doi:10.1098/rsos.191553
pmcid:PMC7029944
pmid:32218974
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Scene memory and spatial inhibition in visual search
Raul Grieben, Jan Tekülve, Stephan K. U. Zibner, Jonas Lins, Sebastian Schneegans, Gregor Schöner, Apollo-University Of Cambridge Repository
2020
doi:10.17863/cam.54937
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The Aggregator Model of Spatial Cognition
[article]
Robert Worden
2020
pre-print
version:v2
arXiv:2011.05853v2
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Understanding visual attention with RAGNAROC: A reflexive attention gradient through neural AttRactOr competition.
Brad Wyble, Chloe Callahan-Flintoft, Hui Chen, Toma Marinov, Aakash Sarkar, Howard Bowman
2020
Psychological review
doi:10.1037/rev0000245
pmid:32772529
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Learning local embedding deep features for person re-identification in camera networks
Zhong Zhang, Meiyan Huang
2018
EURASIP Journal on Wireless Communications and Networking
doi:10.1186/s13638-018-1101-x
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The Computational Anatomy of Visual Neglect
Thomas Parr, Karl J Friston
2017
Cerebral Cortex
doi:10.1093/cercor/bhx316
pmcid:PMC6005118
pmid:29190328
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Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
[article]
Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader, Howard Bowman,
Pedro Domingos, Pascal Hitzler, Kai-Uwe Kuehnberger, Luis C. Lamb, Daniel
Lowd (+ more)
2017
pre-print
version:v1
arXiv:1711.03902v1
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Change blindness as a tool for investigating compensation in hemianopia
Carlyn Muir
2017
doi:10.4225/03/5893fd109c3ea
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Advanced statistical methods for eye movement analysis and modeling: a
gentle introduction
[article]
Giuseppe Boccignone
2017
pre-print
version:v4
arXiv:1506.07194v4
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Modeling visual search using three-parameter probability functions in a hierarchical Bayesian framework
Yi-Shin Lin, Dietmar Heinke, Glyn W. Humphreys
2015
Attention, Perception & Psychophysics
doi:10.3758/s13414-014-0825-x
pmid:25678272
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Mutual interplay between perceptual organization and attention
[book]
Céline R. Gillebert, Glyn W. Humphreys, Johan Wagemans
2014
Oxford Handbooks Online
doi:10.1093/oxfordhb/9780199686858.013.041
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A neuronal device for the control of multi-step computations
Ariel D Zylberberg, Luciano Paz, Pieter R Roelfsema, Stanislas Dehaene, Mariano Sigman
2013
Papers in Physics
doi:10.4279/pip.050006
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A neuronal device for the control of multi-step computations
Ariel D Zylberberg, Luciano Paz, Pieter R Roelfsema, Stanislas Dehaene, Mariano Sigman
2013
Papers in Physics
doi:10.4279/pip.
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An integrative, experience-based theory of attentional control
M. H. Wilder, M. C. Mozer, C. D. Wickens
2011
Journal of Vision
doi:10.1167/11.2.8
pmid:21307173
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Shape effects on reflexive spatial selective attention and a plausible neurophysiological model
Saumil S. Patel, Xinmiao Peng, Anne B. Sereno
2010
Vision Research
doi:10.1016/j.visres.2010.04.010
pmcid:PMC9057441
pmid:20399801
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Reflexive and preparatory selection and suppression of salient information in the right and left posterior parietal cortex
C. Mevorach, G. Humphreys, L. Shalev
2010
Journal of Vision
doi:10.1167/8.6.394
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Computational visual attention systems and their cognitive foundations
Simone Frintrop, Erich Rome, Henrik I. Christensen
2010
ACM Transactions on Applied Perception
doi:10.1145/1658349.1658355
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Time-course contingencies in perceptual organization and identification of fragmented object outlines.
Sven Panis, Johan Wagemans
2009
Journal of Experimental Psychology: Human Perception and Performance
doi:10.1037/a0013547
pmid:19485684
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Simulating posterior parietal damage in a biologically plausible framework: Neuropsychological tests of the search over time and space model
Eirini Mavritsaki, Dietmar Heinke, Gustavo Deco, Glyn W. Humphreys
2009
Cognitive Neuropsychology
doi:10.1080/02643290903424329
pmid:20013434
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Simultanagnosia: When a Rose Is Not Red
H. Branch Coslett, Grace Lie
2008
Journal of Cognitive Neuroscience
doi:10.1162/jocn.2008.20002
pmid:17919075
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Spatial constraints on learning in visual search: Modeling contextual cuing.
Timothy F. Brady, Marvin M. Chun
2007
Journal of Experimental Psychology: Human Perception and Performance
doi:10.1037/0096-1523.33.4.798
pmid:17683229
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Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems
Santiago Jaramillo, Barak A. Pearlmutter
2007
Neural Computation
doi:10.1162/neco.2007.19.5.1295
pmid:17381267
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Attention and Spatial Resolution: A Theoretical and Experimental Study of Visual Search in Hierarchical Patterns
Gustavo Deco, Dietmar Heinke
2007
Perception
doi:10.1068/p5633
pmid:17455750
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A Neural Theory of Visual Attention: Bridging Cognition and Neurophysiology.
Claus Bundesen, Thomas Habekost, Søren Kyllingsbæk
2005
Psychological review
doi:10.1037/0033-295x.112.2.291
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Emotional Devaluation of Distracting Patterns and Faces: A Consequence of Attentional Inhibition During Visual Search?
Jane E. Raymond, Mark J. Fenske, Nikki Westoby
2005
Journal of Experimental Psychology: Human Perception and Performance
doi:10.1037/0096-1523.31.6.1404
pmid:16366798
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MODELING VISUAL SEARCH: EVOLVING THE SELECTIVE ATTENTION FOR IDENTIFICATION MODEL (SAIM)
DIETMAR HEINKE, GLYN W. HUMPHREYS, CLAIRE L. TWEED
2004
Connectionist Models of Cognition and Perception II
unpublished
doi:10.1142/9789812702784_0016
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Modelling direct perceptual constraints on action selection: The Naming and Action Model (NAM)
Eun Young Yoon, Dietmar Heinke, Glyn W. Humphreys
2002
Visual Cognition
doi:10.1080/13506280143000601
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Contextual Learning in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search tasks
A. Backhaus, D. Heinke, G.W. Humphreys
Computer Vision and Pattern Recognition
doi:10.1109/cvpr.2005.439
dblp:conf/cvpr/BackhausHH05
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Selective Attention in the Learning of Invariant Representation of Objects
Muhua Li, J.J. Clark
Computer Vision and Pattern Recognition
doi:10.1109/cvpr.2005.522
dblp:conf/cvpr/LiC05
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